An AI-First Software Company
We build SaaS platforms, mobile apps, and custom systems with AI at the centre, not bolted on.
- AI Development
- SaaS Engineering
- Mobile Applications
- Automation
Four things, done properly.
AI is how we build, not a feature we add at the end. These are the four places that shows up.
AI Development
Built to be measured, not demoed.
Assistants, retrieval, and agents scored against a real evaluation set before anything ships.
SaaS Platforms
Ready for the second customer.
Tenant isolation, billing, and roles designed in from the first sprint, so growth is not a rewrite.
Custom Applications
One system instead of eleven tabs.
The spreadsheets, inboxes, and legacy tools your team has outgrown, replaced by software they will open.
Automation and Integrations
The work nobody should still be doing by hand.
Systems wired together, with custom engineering where off-the-shelf automation runs out.
What we build.
Product categories we have shipped and continue to support. If your problem sits between two of these, that is usually the interesting part.
Internal team tracking software
Who is on what, hours, workload, and status, in one place your team will actually open.
API integrations
Reliable coordination across systems that were never designed to talk to each other.
GoHighLevel builds
Pipelines, campaigns, and custom API work on top of GoHighLevel and Make.
Multi-tenant SaaS platforms
Tenant isolation, org management, metering, and subscription billing.
AI knowledge systems
Permission-aware retrieval over documents your team already maintains.
Customer portals
Self-service surfaces that reduce inbound support volume.
Mobile applications
iOS and Android products, released to the stores and maintained after.
Workflow automation
Approvals, routing, and escalation with error handling that reports.
Analytics dashboards
Operational visibility built from the data your product already emits.
Healthcare applications
Provider and patient workflows involving restricted data access.
Six stages. No surprises in the middle.
The same sequence runs on every engagement. You will know what is being decided, when, and what it costs to change your mind later.
Discover
Stakeholder interviews, existing-system review, and workflow mapping. We identify the risks before they become change requests.
Architect
System design, data model, multi-tenancy approach, integration strategy, and the security model, all agreed in writing before code.
Design
Information architecture, wireframes, a design system, and an interactive prototype your users can react to.
Build
Sprint delivery across frontend, backend, AI, and integrations. Code review and automated testing are part of the work, not a phase.
Launch
Deployment, monitoring, data migration, documentation, and team training against a release checklist.
Evolve
Maintenance, incident resolution, analytics, and roadmap delivery. The product keeps moving after the invoice clears.
The technologies we work with.
The stack we build on every day, grouped by what each layer is for.
Product engineering
The web stack we default to, and the type system that keeps it honest.
- Next.jsApp Router, server components, static rendering
- ReactComponent architecture and state
- TypeScriptTyped end to end, contracts included
- JavaScriptThe runtime underneath all of it
Backend
Where the business rules, data model, and integrations actually live.
- PythonServices, data work, and AI pipelines
- DjangoAdmin, auth, and ORM for operational systems
Cloud and hosting
Chosen per project against scale, cost, and who has to operate it after launch.
- AWSManaged services for regulated and high-scale workloads
- DigitalOceanPredictable cost for steady-state workloads
- VercelEdge delivery for Next.js front ends
Databases
Relational by default. Managed platforms where speed to launch matters more.
- PostgreSQLDefault for anything relational
- MySQLWhere an existing system already runs on it
- SupabasePostgres with auth and realtime attached
- FirebaseRealtime sync and mobile-first products
AI
Model integration built to reach your systems under your permissions.
- ClaudeAssistants, extraction, and reasoning workloads
- ChatGPTOpenAI models where they are the better fit
- Model Context ProtocolMCP servers connecting models to your own tools and data
Mobile
Native platform targets, shipped to the stores and maintained after.
- iOSiPhone and iPad, App Store release
- AndroidPlay Store release and device fragmentation
Security is a product requirement.
Not a phase at the end. These are the practices that apply to every engagement, whatever the size.
Company-controlled repositories
Source code lives in your organisation's accounts. Never a personal one.
Role-based access
Least-privilege by default, with documented removal procedures.
Environment separation
Development, staging, and production are isolated. Production access is restricted.
Code review
Branch protection and peer review before anything reaches a release branch.
Confidentiality and NDA
An NDA can be arranged before confidential documentation is reviewed.
Long-term maintenance
Security updates and dependency management continue after launch.
Agreements including an NDA, MSA, SOW, DPA, BAA, or SLA can be arranged depending on the engagement. We do not claim certifications we do not hold. Where a project has formal compliance obligations, we will tell you what we can evidence and what we cannot.
You work with the people who build it.
No account layer between you and the engineering. The same people who scope the work stay on it through launch and after.
Direct access to the build team
Questions go to the people writing the code, not through an account manager who has to go and ask.
Decisions in writing
Architecture, scope, and the security model are agreed in a document before the work starts, so nothing important lives only in a call.
We stay after launch
Maintenance, dependency updates, and incident response continue once the product is live. Handover is not the end of the engagement.
Structured to match where you are.
Most engagements begin with discovery and move into a build once scope is defensible. If you already have a specification, we can start further along.
Product Discovery
For teams that need scope, architecture, a delivery plan, and a defensible cost estimate before committing to a build.
Idea or requirements in progressFixed-Scope Product Build
For requirements that are complete enough to price, with acceptance criteria and change control agreed up front.
Specification completedDedicated Product Team
A cross-functional monthly team (product, architecture, engineering, QA, and design) working to your roadmap.
Multi-phase developmentAI Implementation
For companies adding AI to an existing product, internal operation, or knowledge system with measurable success criteria.
Existing product or operationSupport and Product Evolution
Maintenance, monitoring, security updates, and continued roadmap delivery once the product is live.
Live productHave a Complex Product to Build?
Tell us what you are planning, what already exists, and where you need technical support. We will help determine the right next step.
An NDA can be arranged before confidential documentation is reviewed
Prefer to write first? Email hello@mavixdigital.com.